Session: AI in Sales Engineering - A pragmatic approach for Sales centric AI/LLM implementation
This session provides a pragmatic, revenue-focused roadmap for implementing AI & LLMs within Sales Engineering (SE) organizations. Session will introduce a sales-centric framework for prioritizing AI use cases such as using an LLM as a "Shadow SE" to instantly synthesize technical documentation for RFPs and personalize demo scripts. Session will highlight the challenges & pain points from an early adopter perspective. Finally session will elaborate some of the low hanging fruits in delivering & implementing AI/LLM that maximizes the values.
Attendees will learn actionable strategies for reliable deployment, maximizing the Return on Effort (ROE) of AI investments and ensuring necessary data governance to keep the SE function focused on accelerating the sales cycle, with measurable revenue growth.
Bio
Reema Gupta is a strategic technology leader with 25+ years of experience specializing in global Data Engineering, Data Warehousing & Advanced Analytics.
She architects and executes scalable data platforms (AWS, Azure, Snowflake) to deliver high-impact BI, regulatory compliance analytics and advanced predictive AI/ML models (Python/R). Her expertise covers the full data lifecycle, from building global teams and orchestrating complex M&A integrations to driving strategic technical vision.